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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2307.01915 |
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| _version_ | 1866914901612560384 |
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| author | Li, Grace J. Luo, Jiajie Peng, Kaiyan Porter, Mason A. |
| author_facet | Li, Grace J. Luo, Jiajie Peng, Kaiyan Porter, Mason A. |
| contents | People sometimes change their opinions when they discuss things with other people. Researchers can use mathematics to study opinion changes in simplifications of real-life situations. These simplified settings, which are examples of mathematical models, help researchers explore how people influence each other through their social interactions. In today's digital world, these models can help us learn how to promote the spread of accurate information and reduce the spread of inaccurate information. In this article, we discuss a simple mathematical model of opinion changes that arise from social interactions. We briefly describe what such opinion models can tell us and how researchers try to make them more realistic. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_01915 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Using mathematics to study how people influence each other's opinions Li, Grace J. Luo, Jiajie Peng, Kaiyan Porter, Mason A. Physics and Society Social and Information Networks Dynamical Systems History and Overview Adaptation and Self-Organizing Systems People sometimes change their opinions when they discuss things with other people. Researchers can use mathematics to study opinion changes in simplifications of real-life situations. These simplified settings, which are examples of mathematical models, help researchers explore how people influence each other through their social interactions. In today's digital world, these models can help us learn how to promote the spread of accurate information and reduce the spread of inaccurate information. In this article, we discuss a simple mathematical model of opinion changes that arise from social interactions. We briefly describe what such opinion models can tell us and how researchers try to make them more realistic. |
| title | Using mathematics to study how people influence each other's opinions |
| topic | Physics and Society Social and Information Networks Dynamical Systems History and Overview Adaptation and Self-Organizing Systems |
| url | https://arxiv.org/abs/2307.01915 |